Found in Translation: Achieving Human Parity on Chinese to English News Translation
- Hany Hassan Awadalla and Christian Federmann | Microsoft
Machine translation has made rapid advances in recent years. In this talk we describe recent advances of Microsoft’s machine translation system using Neural Machine Translation that lead to achieving a new state-of-the-art, and achieving human parity when compared to professional human translations. We will discuss the technical contributions, results and how we defined and accurately measured human parity in translation.
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Christian Federmann
Senior Data Scientist
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Hany Hassan Awadalla
Partner Research Manager
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Series: Microsoft Research Talks
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Learning Structured Models for Safe Robot Control
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